JITAI HCI Analysis

Likeability

Which function

https://www.datasciencemadesimple.com/which-function-in-r/

#Array Indexing https://rspatial.org/intr/4-indexing.html

rowMeans Function

https://www.programmingr.com/tutorial/rowmeans-in-r/

library(data.table)
library(plotly)

likeability <- fread("likeability_formatted.csv")


# JITAI 1

# Numeric
jitai_1_numeric <- likeability[ which(likeability$JITAI_TYPE=='1' & likeability$NUMERIC_TYPE!='Numeric'), 4:8]

jitai_1_numeric_means <- rowMeans(jitai_1_numeric)

mean_jitai_1_numeric <- mean(jitai_1_numeric_means)

# Non-Numeric
jitai_1_non_numeric <- likeability[ which(likeability$JITAI_TYPE=='1' & likeability$NUMERIC_TYPE!='Non-numeric'), 4:8]

jitai_1_non_numeric_means <- rowMeans(jitai_1_non_numeric)

mean_jitai_1_non_numeric <- mean(jitai_1_non_numeric_means)


# JITAI 2 

# Numeric
jitai_2_numeric <- likeability[ which(likeability$JITAI_TYPE=='2' & likeability$NUMERIC_TYPE!='Numeric'), 4:8]

jitai_2_numeric_means <- rowMeans(jitai_2_numeric)

mean_jitai_2_numeric <- mean(jitai_2_numeric_means)

# Non numeric
jitai_2_non_numeric <- likeability[ which(likeability$JITAI_TYPE=='2' & likeability$NUMERIC_TYPE!='Non-numeric'), 4:8]

jitai_2_non_numeric_means <- rowMeans(jitai_2_non_numeric)

mean_jitai_2_non_numeric <- mean(jitai_2_non_numeric_means)


# Numeric v. Non Numeric

# Numeric
jitai_numeric <- likeability[ which( likeability$NUMERIC_TYPE!='Numeric'), 4:8]

jitai_numeric_means <- rowMeans(jitai_numeric)

mean_jitai_numeric <- mean(jitai_numeric_means)

# Non Numeric
jitai_non_numeric <- likeability[ which( likeability$NUMERIC_TYPE!='Non-numeric'), 4:8]

jitai_non_numeric_means <- rowMeans(jitai_non_numeric)

mean_jitai_non_numeric <- mean(jitai_non_numeric_means)

# Plot
# https://plotly.com/r/bar-charts/

if (TRUE) {
MessageTypes <- c("JITAI 1", "JITAI 2")
Numeric <- c(mean_jitai_1_numeric, mean_jitai_2_numeric)
Non_Numeric <- c(mean_jitai_1_non_numeric, mean_jitai_2_non_numeric)
data <- data.frame(Message_Types, Numeric, Non_Numeric)

fig <- plot_ly(
  data, 
  x = ~Message_Types, 
  y = ~Numeric, 
  type = 'bar', 
  name = 'Numeric',
  text = ~Numeric, 
  textposition = 'auto'
  )

fig <- fig %>% add_trace(
  y = ~Non_Numeric, 
  name = 'Non Numeric',  
  text = ~Non_Numeric, 
  textposition = 'auto'
)

fig <- fig %>% layout(
  title = "Numeric v. Non-Numeric", 
  yaxis = list(title = 'Likeability', 
  range = c(0, 5)), 
  barmode = 'group'
)

fig
}

table <- data.frame(x = c("Numeric", "Non Numeric"),
                    y = c(mean_jitai_numeric, mean_jitai_non_numeric))
table$x <- factor(table$x, levels = c(as.character(table$x)))

fig <- plot_ly(
    data=table,
    x = ~x,
    y = ~y,
    name = "JITAI",
    type = "bar",
    text = ~y, 
    textposition = 'auto'
)

fig <- fig %>% layout(title = "Numeric v. Non-Numeric", xaxis = list( title = "Numeric Type"), yaxis = list( title = "Likeability", range = c(0, 5)))

fig

NA

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